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Three Default Thinking Modes That Can Screw Up Your Planning and Vision

Nov 5, 2026 17 min

Your brain is constantly trying to simplify the world. It takes a snapshot of what it sees, builds a picture that makes sense, and then works from that picture. Most of the time this works well enough. But when we plan projects, set goals, or try to predict where something is headed, these default modes of thinking can lead us in the wrong direction. In today's episode, I cover three of these defaults: linear thinking, static thinking, and infinite or non-discrete thinking. I also talk about how they show up in your career and in the way engineering leaders set vision for their teams. Static Thinking and the Snapshot Problem: We tend to fix our beliefs about people very quickly, which is why first impressions carry so much weight. If someone acts a certain way in one meeting, we assume that's how they act in every meeting. This is closely related to the fundamental attribution error, where we treat a person's behavior in one moment as a permanent part of who they are instead of a response to their environment. Linear Thinking and Exponential Change: When something is changing, we assume it will keep changing at about the same rate. AI agents are a good counterexample. Research suggests their effectiveness roughly doubles on a timescale of a few months, and even if the exact numbers are off, the curve is exponential. That kind of growth is hard to picture intuitively, and it probably won't last forever. At some point it will likely level off into something closer to logarithmic. Where Our Intuition Comes From: Nonlinear patterns are all around us in nature. Think about how quickly heat rises as you move your hand toward a fire, or how loudness changes as you get closer to a speaker. But our social lives mostly involve slow, roughly linear change, and over the course of human history our minds have adapted to that kind of linear model. Your Career Isn't a Straight Line: Many of us expect our salary and growth to rise steadily, in steps, for our whole careers. That ex...

Signs You May Have a Regressive Mindset

Oct 24, 2026 16 min

Keeping up has always been part of the job for software engineers, and with AI it's harder than ever. In this episode, I talk about two signals that you, your coworkers, or the people you manage might have a regressive mindset, which shows up as quietly avoiding the learning you need to stay current. Keeping up has always been part of being a software engineer, and right now it's harder than ever. A lot of us are tired, skeptical, or just overwhelmed by the constant stream of AI news, and it's easy to slide into habits that slowly cut us off from new information. In today's episode, I talk about two signals to watch for in yourself, your coworkers, or your reports that point to a regressive mindset. That's a pattern of avoiding progress and learning, often without realizing you're doing it. What a Regressive Mindset Actually Is: A progressive mindset doesn't require jumping on every new tool or throwing out your whole toolset. Constant upheaval isn't progress. What matters is that your understanding of the world keeps growing. The regressive mindset shows up as avoiding learning and leaning on defense mechanisms that shield you from more nuanced information.Signal #1: Avoiding Information by Category: Watch for the moment you click away from an article or video just because it mentions AI or agents. You don't have to read everything, but if you're skipping things purely because of the subject, it's worth figuring out why. Fatigue might mean you need a break. Skepticism or discomfort is a different story.The Ostrich Effect: Avoiding uncomfortable information is a lot like sticking your head in the sand. It feels protective, but over time it leaves you behind and out of touch with what it takes to stay competitive as the industry changes.What Is Your Alternative Path?: If your plan is to keep avoiding this information, ask yourself honestly what that looks like a year or five years from now. I'd argue that avoiding it forever just isn't possible.Signal #2: Tying a Con...

How History Can Inform a Dynamic Understanding of Technological Revolutions Mirroring this Moment In Software Engineering

Sep 30, 2026 17 min

You're tired of hearing that you need to pick up AI, so today I'm not going to add to that pile. Instead, we'll look back at two moments in history that look a lot like this one: the arrival of Fortran in the 1950s, and the spread of autopilot in commercial aviation. Both show how new abstractions change the shape of our work without being purely good or purely bad. You've heard plenty of engineering leaders tell you to use more AI and more agents, often in a way that seems out of touch with your day-to-day work. I'm not going to add to that today. Instead, I want to share some history. If it feels like our industry is in a completely unique moment, it helps to look at earlier times that had a similar shape. In this episode, I look at the early skepticism around Fortran and the effects of autopilot on pilot skill. Then I explain why a dualistic "good or bad" view of AI leaves out most of what is actually happening. Fortran and the Skeptics: In the 1950s, Fortran became widely known as the first high-level language, generating machine code so programmers didn't have to write it by hand. Skeptics doubted it. John von Neumann reportedly questioned why a serious scientific machine should do "clerical work," and many engineers didn't trust the generated code. The Critics Were Partly Right: Early generated code wasn't very good and needed a lot of massaging. The Fortran team didn't go back to the old way. They put their effort into improving the new abstraction. The criticisms of the new tool became the fuel for making it better. Autopilot and Cognitive Saturation: Commercial aviation is one of the safest forms of travel, and automation is a big reason why. Taking the manual work of flying off the pilot frees up mental capacity for radio calls, navigation math, and diagnosing problems. That adds a safety margin to every flight. Children of the Magenta Line: Automation also brought a new risk. When pilots rely on GPS and autopilot, their manual flying skills can atrophy,...

Fundamentals Will Help You Survive the Constant Acceleration of Software Engineering

Sep 21, 2026 13 min

Fundamentals get talked about constantly, but rarely defined. In this episode I dig into what a fundamental actually is — the building blocks, heuristics, and core characteristics that don't change — and why they matter more than ever in a profession where abstraction moves faster than almost anywhere else. If you feel like you can't keep up with every new framework, model, or tool release, the answer isn't to read faster. It's to step up a level. Fundamentals get talked about constantly — in sports, in hobbies, in software — but we rarely stop to define what one actually is. In today's episode, I unpack what makes something fundamental, why software engineering in particular buries its fundamentals under layer after layer of abstraction, and how principles-first thinking gives you a way to keep up with an industry that never stops moving without needing to learn every single new thing that ships. What Actually Counts as a Fundamental: Fundamentals aren't rules — they're building blocks, behaviors, habit patterns, and heuristics. In basketball it's dribbling. In football it's blocking. In software it's readability, reliability, the setup-execute-teardown shape of a test, basic logic structures. In communication it's sender, receiver, feedback, and noise. Why Software Abstracts Faster Than Almost Anything Else: Compare the practice of law, where the fundamentals look largely the same as they did fifty years ago, to software, where the work is symbolic at its core. We build symbols that mean something to humans but map down to a hard physical reality of flipped bits and moving electrons — and that symbolic nature is exactly what lets abstraction pile up so quickly. The Rise of Linguistic Abstraction: Our abstractions have become increasingly language-shaped. Object, function, flow, durable object, mesh, graph — these are primitive ideas expressed as words, and understanding that shift explains a lot about how the industry actually progresses. Abstractions Have Funda...

You Don't Learn Helplessness - You Learn Control

Sep 5, 2026 16 min

In 1967, a study on shock avoidance gave us "learned helplessness," and for nearly fifty years that was the prevailing explanation for why people give up. Then the original authors published a follow-up with brain scan data showing they had it backwards. We don't learn to be helpless — passivity is the default. What we learn is control. In today's episode, I explore what that reversal means for anyone facing a hard problem right now, and why a single small action can shift your entire orientation toward a challenge you haven't solved yet. The Study That Reversed Itself: Understand how the 1967 learned helplessness research was revised roughly a decade ago by its own authors. The brain scan data showed the neurological change wasn't happening in the animals who gave up — it was happening in the ones who discovered their actions relieved the negative experience.Passivity Is the Default, Not the Result: This is a fundamental shift. If helplessness were learned, we'd have a lot to reverse. But if passivity is simply where we start, then exerting control isn't undoing damage — it's activating something that was always available.Your Action Doesn't Have to Match Your Problem: If you're out of work, you don't need to land a job to get the neurological realignment. The brain doesn't measure whether your control input is equal in magnitude to the thing making you feel helpless. A much smaller input does the work.The Effect Persists: The research showed the behavioral change held up a week later, even against a new stressor that didn't pattern match the original. This isn't a momentary mood shift — it changes how you operate in the world.Why "Action Orientation" Shows Up on Every Job Description: These words look like corporate filler until you see the neuroscience underneath them. Being proactive isn't a personality trait some people happen to have; it's a mode you can enter by noticing that your control has an impact.Agency, Not Control: A careful distinction — this isn't a...

Why Reducing Complexity Is A Sign of Seniority

Aug 21, 2026 15 min

As you grow as an engineer, something counterintuitive happens: the systems you build get simpler, not more complex. In this episode, I explore why senior engineers tend to collapse abstractions, accept certain risks, and reduce the surface area they're responsible for — and what drives that shift underneath the surface. Understanding the reasons behind the trend is what lets you get there on purpose instead of waiting a decade to arrive there accidentally. Early in your career, output goes up fast. You're building more than ever, especially with AI in the mix, and a lot of what you build carries real complexity. But watch engineers who have been doing this a long time and you'll notice the opposite of what you'd expect: as their craft improves, their code, their architectures, and their systems get simpler. In today's episode, I dig into why that happens — and why chasing simplicity directly is less useful than understanding the underlying forces that produce it. Simplicity Isn't the Goal — It's the Byproduct: Trying to "make things simpler" as a directive doesn't get you very far. If you can understand the core reasons complexity tends to fall as engineers mature, you can aim at those reasons instead and arrive at simplicity organically. Why Simpler Code Pays Off: Simpler things are easier to understand, which means junior engineers can pick up your code, and future-you can return to a project you've long since left and still make sense of it. Adapting a simple thing is almost always easier than adapting a complex one. The Pain of the Refactor Teaches You: A big part of this shift is scar tissue. Once you've lived through a massive refactor of a complex system, you start making different trade-offs — not from theory, but because you don't want to do that again. Collapsing Vertical Abstractions: One of the most common refactors senior engineers reach for is collapsing long chains of abstraction that only ever get used in one place. It's abstraction without re...

A Pragmatic Definition for Accountability

Aug 14, 2026 22 min

Accountability is a word you'll hear in your performance reviews, from your manager, and increasingly as you step into leadership. It's also one of the most abused and misunderstood concepts in our industry. Many of us have a visceral, negative reaction to it—not because the concept is broken, but because the companies and people we've worked with have bastardized its meaning. In today's episode, I want to strip away the scary parts and offer you a pragmatic, working definition of accountability: one that a good engineer would actually invite rather than dread. What We Cover The Bad Version of Accountability: Recognize the weaponized version of this word—being audited for things you didn't know you were responsible for, having unrealistic goals coerced onto you, and getting surprised at performance review time. This is how leaders shirk their real responsibility to grow people and create clarity, hiding hard performance conversations behind a single loaded term. Accountability as Debugging: Shift the frame to how we think about software. When payroll software overpays your team by $100, you file a bug report—something deviated from the agreement about what should happen. The engineer who investigates is performing an accounting function, tracing a root cause. That's what being "held to account" really means: identifying what happened against a known standard. The Churning Customer Problem: Understand what happens when the bug report never gets filed. A customer who hits something unexpected and just leaves never gives the company a chance to fix it. The same thing happens between you and your manager when the communication lines aren't established—you find out at review time instead of when it could have mattered. Accountability at Every Step: In a healthy team, accountability isn't a once-a-year audit. It's continuous, giving you the ongoing opportunity to notice when something has deviated from the agreement—so you have something concrete to hold to account...

Using Substition to Make Decisions Simpler

Jul 22, 2026 18 min

There's a cognitive trick our brains play whenever we face a hard question or a difficult decision: we quietly swap the hard thing for something easier to answer. It's called substitution, and we do it constantly — usually without noticing, and sometimes to our detriment. In today's episode, I make the case that you can take this same shortcut your brain already runs automatically and start using it intentionally to break decision paralysis and get moving. The Substitution Heuristic: Understand the mental move at the heart of this episode — when "How are you?" becomes "Is there anything I urgently need to say?", your brain isn't being lazy, it's compressing. It runs a quick calculation: what's the downside of the substitute? Usually it's low, so the shortcut holds. Code Review as Substitution: See why you almost never review a big PR line by line. "Was it tested? Does it follow our best practices? Does anything look obviously wrong?" are all stand-ins for the harder, mostly-unnecessary work of reading every line — and most of the time, they're enough. Performance Reviews Are a Best Guess: Recognize that your rubrics, metrics, and frameworks are themselves substitutes. You can't deterministically rate a person on a scale, so every measure you use is an approximation of an immeasurable question: how much value is this person really generating, and where are they headed? Turn the Trick Around on Purpose: Learn how to use substitution deliberately to defeat paralysis. Instead of "I'm deciding to leave my job and chase something new," substitute "I'm going to send an email." The weight of sending an email is tiny — and the dream job is just a series of small, iterative steps like that one. Unbundle Your Big Decisions: Notice how we fuse trivial mechanical actions with heavy imagined meaning. Merging a branch isn't "declaring this production-ready and putting my name on the line" — it's moving bits into the cloud. Separate the labeling from the action and the action...

Your Single Most Important Tool for Managing the Uneven Downsides of Risk

Jul 10, 2026 25 min

The skills you build and the tools you master matter, but they aren't your most important asset when things go wrong — and something eventually will. In this episode, I work through why our careers and lives are governed more by avoiding catastrophic downside than by chasing upside, and why the single best tool for surviving a bad event isn't testing, insurance, or money — it's genuine trust with the people around you. Here's a question to sit with: what is the most important tool you have as a software engineer and as a leader? Most of us reach for something technical, but the answer runs deeper than that. In this episode, I start with the humble premortem — the practice of assuming something has already gone wrong so we can pressure-test our plans — and use it to explore why so much of our work is really about predicting and mitigating risk. From there, I make the case that because we're all exposed to a far larger downside than upside on any given day, the tool that matters most is the one that helps you survive the bad event you couldn't prevent: your relationships with other people, built on real trust. The Premortem as a Risk Lens: Learn why assuming failure ahead of time is such a useful counter to our natural optimism. Our plans quietly assume everything will go right, and a premortem forces us to inspect the gaps our best-laid plans never covered. Life Is Already About Predicting Risk: Nearly every action we take — stepping forward, eating the sushi, merging into traffic — is a small bet on an outcome we can't prove in advance. Much of what we're managing isn't even our own behavior, but the risk other people put us through. Why the Downside Dwarfs the Upside: On a typical Monday, your potential gain is limited, but your potential loss is not. A single catastrophic event — a breached customer, untested code shipped, an injury for an athlete — can undo far more than any single good action could ever build. This is why avoiding failure, not chasing brill...

Why Can't You Go Faster With AI? Focus on the Friction to Find Out

Jun 24, 2026 19 min

If you are a manager, a lead engineer, or anyone growing into more responsibility, this throwback episode is built for you. We keep hearing the same question, now louder than ever: "Why can't this go faster?" AI and agentic coding have made the literal coding step dramatically cheaper, so product leaders reasonably expect the whole pipeline to speed up. But it hasn't—and in today's short, focused episode I explore why. The answer isn't new at all. It's the theory of constraints, and it has everything to do with friction you may not be looking at. Speed Isn't the Story—Friction Is: When a fast component gets introduced into the pipeline, the instinct is to celebrate the velocity. But pay attention to what comes after. The real question is what keeps work from naturally flowing faster, and that lives in the friction, not the energy you're pouring in upfront. The Universal Bottleneck: I rarely claim universal truths on this show, but here's one: anything that looks like a pipeline will have a bottleneck. If you're not paying attention to it, it doesn't matter how fast every other step gets. Faster coding just exposes where the constraint really sits. The Two Places Friction Shows Up: For teams fully adopting agentic coding, the bottlenecks cluster in two spots—requirements gathering at the front, and verification, validation, and testing at the back. Rushed requirements upstream create even more painful rework downstream. Why Agents Punish Vague Specs: Human engineers fill in gaps by being close to the work. Agents fill in gaps too, but sometimes incorrectly. If your requirements aren't detailed, the agent guesses, and you pay for it in review. Spend more time in the planning phase, not less. The Foundation You Build On: Agents glob extra code onto a weak structure—unnecessary models, redundant endpoints, patterns that don't fit. A code base organized with clear conventions, good documentation in your CLAUDE.md or AGENTS.md, and dependable patterns lets the agent...

Software Engineering Principles That Still Hold Up in an Agentic World - Old Lessons Made New

Jun 18, 2026 31 min

The skills problem isn't going anywhere — it's just wearing new clothes. In this episode, I unpack how the lessons we learned decades ago (limiting work in progress, the theory of constraints, test-driven development) are coming roaring back as the fundamentals that will carry you through the agentic shift. The bottleneck has moved, and knowing where it went changes how you should work. A lot of what we're learning about building with agentic tooling isn't new at all — it's a re-emphasis on lessons software engineers learned twenty years ago, just arriving in a new form. In today's episode, I walk through why the fundamentals are becoming more important than ever, why so many of us feel scattered despite having the most powerful tooling we've ever had, and where the real bottleneck in software delivery has quietly moved. My goal isn't to convince you that your job is now babysitting AI — it's to show you which parts of the work are still squarely yours, and how older principles can make you faster and more confident right now. Limiting Work in Progress Is Back: Just because you can spin up fifty agents doesn't mean you should split your focus across fifty things. Orchestrated fan-outs are powerful, but a human juggling agents across hiring, on-call, and a project all at once still pays the same old context-switching tax — and the quality drops while the speed never improves. Work Deeper, Not Wider: Instead of spreading yourself shallowly across more tickets, run multiple sessions on the same domain. Write a competing or adversarial version that critiques your assumptions, develop better documentation, or capture what you're learning as a reusable skill. Depth beats breadth. The Scattered-Engineer Epidemic: Engineers are burning out faster, not slower. We have the capacity to push more through the pipeline, so we're getting handed (or choosing) more than we can carry. Reducing parallelism often holds your delivery speed steady while dropping your cycle time and...

Principles Oriented Thinking as a Durable Skill in an AI First World

Jun 10, 2026 27 min

The skills that survive every industry shakeup aren't the ones you can Google — they're softer, harder to name, and far more durable. In this episode, Jonathan explores principle-oriented thinking: the practice of stripping away the labels we attach to tools, roles, and even ourselves to see what something actually does at its core. It's the difference between handing your coding off to an agent and rethinking your entire workflow around what these new materials are truly capable of. If you've been following along with our recent focus on durable skills, you know we've been hunting for the abilities that translate beyond this month, this year, or whatever AI does to our industry next. Today's skill doesn't have a tidy name you can search for — it's softer than that. Jonathan calls it "principle-oriented thinking": the habit of deconstructing the labels we put on things to understand their core components, properties, and capabilities. It's how NASA engineers turned a sock into a water filter on Apollo 13, and it's how forward-thinking engineers are reframing what AI can actually do rather than jamming it into a predetermined slot. Labels Are Useful Shortcuts — Until They Aren't: Every label, from "software engineer" to "sock," carries baggage, heuristics, and presupposition. That's not a flaw — labels are how we move through the world quickly. But when a label is the only lens you have, it quietly caps how much value you can get out of the thing you're looking at. The Apollo 13 Sock: When the crew needed to fix a life-threatening problem with mismatched parts, the engineers on the ground had to forget what a sock was for and ask what it actually is — a piece of cloth with tensile strength, flexibility, and filtering properties. Strip the assumption that it goes on a foot, and a whole new set of uses opens up. Stop Slotting AI Into Old Roles: The common move is to take one responsibility — coding, debugging, refactoring — hand it to an agent, and keep everything...

What the Science Actually Says About Effective Feedback

Jun 3, 2026 27 min

A lot of what we've been talking about lately is durable skills — the abilities that last regardless of how our tools and tech environment change. In today's episode, I want to step back from the AI conversation and focus on one of the most durable skills of all: feedback. We've all been on both the giving and receiving side, and we can probably count on one hand the times someone gave us feedback that genuinely drove a good change — that left us wanting to do better without feeling torn down. So how do we accomplish that kind of feedback, on both sides of the table? That's what this episode is all about. Start With Your Goal, Not Your Frustration: Before you give feedback, recognize that your gut impulse often comes from a negative emotion — frustration, feeling slighted, feeling disrespected. Those feelings are valid signals that something is off, but they aren't a sufficient reason to give feedback. Effective feedback is goal-oriented: ask yourself what you actually want to change before you say a word. Premature vs. Mature Feedback: Premature feedback is really about making sure someone knows how you feel — which can quietly turn into an attack so they share your pain. Mature feedback is forward-looking and aimed at improvement. Venting may give you catharsis in the moment, but if the behavior worsens or the relationship is damaged, the net outcome is negative. Why Asking for Feedback Changes Everything: Even hearing "can we meet for ten minutes, I have some feedback" measurably raises your heart rate and pushes you into a defensive state. But when you ask for feedback, your mind and body register that you're in control — same information, completely different physiological response. Make It Behavior-Based and Specific: Good feedback is about observable behavior — what a camera would have caught — not someone's core identity. If your feedback violates a person's self-concept (painting a competent engineer as incompetent), they have to change who they believ...

Rebuilding Your Mental Models In the Midst Of an AI Tech Revolution

May 27, 2026 26 min

Right now, the questions we have about our careers feel existential. We keep coming back to the same theme: how do you prepare for an industry that's changing this fast, and what mindset actually works in this new reality? One skill keeps surfacing as the answer — your ability to update your own mental models. In today's episode, I want to push on that further and put some of software engineering's most beloved thinking models under scrutiny. Some of these models served you well for years. Some of them now deserve to be challenged, replaced, or thrown out entirely — and learning how to tell the difference is itself the skill that will determine whether you hit a ceiling. Move Past "So What" Questions: The typical engineering objection to agentic coding is that it produces quality issues. But the people deciding to adopt these tools already accept that. Our job is to stop arguing the surface-level point and start asking the real one: so what do we actually do about this new economic reality? The Economics of Acceptable Loss: Abstraction always leaves something to be desired. An agent's code may not match what a staff engineer produces by hand over months — but that gap is usually an acceptable trade against shipping something two, three, or four times faster. Understand the cost-benefit picture instead of pretending the cost doesn't exist. Abstraction Has Always Done This: This isn't new. The calculator dissolved the specialization once required for complex math. Spreadsheets commoditized ledgering and accounting. Agentic coding is the same pattern arriving for our work — making something that required deep specialization suddenly far more accessible. Roles Are Blurring: As these generic tools raise everyone's ability to abstract, the boundaries soften. You're already seeing product managers open pull requests and engineers making product decisions. The neat lines around "what an engineer is" are not as fixed as they used to feel. Why Your Hard-Won Wisdom Is th...

Practice Isn't Enough for Senior Engineers - Adaptation Is a Key Skill in an AI-First Industry

May 24, 2026 19 min

If you're a software engineer right now, you likely feel like your world is changing overnight. We are writing half or less the amount of code that we wrote even a year ago, which represents a seismic, groundbreaking shift in our industry. For many of us, this career has always been engaging for deeply creative and intellectual reasons—and that excitement is still here. But our mental models of what it means to be a good engineer, and what it means to keep improving, have gone a little stale. In today's episode, I want to talk about a distinction that I believe will become the cornerstone mistake for seasoned engineers: confusing _practice_ with _adaptation_, and leaning on the wrong one at the worst possible moment. Two Surfaces Coming Into Contact: Picture your knowledge, skills, and toolset as one surface, and the actual state of the art as another. We've always known the surface area we could learn far exceeds what we can learn, which forces us to place bets on a learning strategy. What's changing is how fast that second surface is moving underneath us. Improvement by Practice vs. Improvement by Change: Practice is wielding what you've already adopted—smoothing out errors, building muscle memory, refining what you already know. Adaptation is fundamentally folding something new into your repertoire. Both are real forms of improvement, but they are not interchangeable. The Cornerstone Mistake for Senior Engineers: Later in your career, the time you spend adapting naturally goes down as you settle into practice. The biggest error I'm already watching engineers make is moving too quickly toward practice when the industry is loudly calling for adaptation instead. Inspect and Adapt—at the Right Altitude: Sprint retros were never really about getting marginally better at the thing you already do. The intent of "inspect and adapt" is to step up one level and examine the system. The trap is treating adaptation like a minor refinement—getting a little better at promp...

Senior Skills to Maintain Employment Through the AI Wave

May 14, 2026 28 min

If you've heard that your job in the agentic coding era is to "become a manager of agents," you may have noticed something doesn't quite fit. Most of us never trained to be managers, and frankly, that's not the role most engineers want. In today's episode, I unpack what that shift _actually_ means — it's closer to a tech lead or architect mindset — and zoom in on a specific interviewing and on-the-job skill that will help you stay employable: how you think about, talk about, and take ownership of failure. Don't Just Bring Star Stories — Bring Failure Stories: Interviewers don't only want to hear how you succeeded. They want to know what you do when the pressure's on and things fall apart. If every story you tell is a highlight reel, there's a built-in social signal that you're hiding something. Get comfortable telling the other kind of story. Identify the Real Problem, Not the Proximal One: The most common failure story I hear in interviews is "the knowledge transfer was bad" or "the docs weren't good." That's not wrong — it's just incomplete. The senior mindset asks why that happened. Why didn't we have docs? Why was context insufficient? Walk it back until you hit something actionable but not too abstract. The Systemic Diagnosis is the Leveled-Up Answer: Fixing the proximal cause fixes this instance. Fixing the root cause fixes the system that keeps producing instances like this. When you connect what you learned to a systemic adjustment, you stop sounding like someone who survived a bad project and start sounding like someone who improves the organization around them. Ownership Means Owning the Outcome, Not the Task: Use the homeowner metaphor. A homeowner doesn't personally fix every leaking pipe — but the outcome of the home is theirs. As an engineer, your scope of ownership has expanded dramatically in the agentic era. You're now responsible for outcomes of code you may not have even read, and the deciding skill is how you carry that responsibility. The...

You're Wrong All the Time, But All You Need Are Better Explanations

May 6, 2026 25 min

What happens when you discover that a book that fundamentally changed how you think is built on a shaky foundation? In today's episode, I share my own struggle with the replication crisis surrounding Daniel Kahneman's *Thinking Fast and Slow*, and I use it as a springboard to talk about a much bigger skill: knowing how to update your beliefs when reality shifts underneath you. This isn't about throwing out science or losing trust in your heroes. It's about developing the muscle to replace old explanations with better ones — a skill that has never been more important for software engineers. The Replication Crisis, Briefly Explained: Understand the difference between reproducing a study (re-running the analysis on the original data) and replicating one (recreating the study from the ground up), and why a surprisingly large portion of well-respected psychology research, including studies cited in Thinking Fast and Slow, doesn't hold up under scrutiny. Base Rates Matter: Kahneman didn't pick uniquely bad studies. If you randomly sampled from the broader academic literature, you'd hit the same failure rate. The lesson isn't about one author — it's about how we evaluate any body of knowledge. The Beginning of Infinity Framework: Drawing from David Deutsch's book, explore the idea that all progress is rooted in the assumption that we are fundamentally incorrect, and that improvement comes from continually building better explanations on top of incomplete ones. Beliefs as Calibration, Not Truth: Your beliefs about what makes a good engineer, what makes good code, or what makes a good career move are not eternal truths. They are calibrations to your current reality, and that reality is changing fast. The Ego Trap of Old Beliefs: Notice the very human, very subtle pull to defend things you previously argued for — not because they're still right, but because admitting otherwise creates a discontinuity with your former self. This is one of the biggest blockers to learning...

AI-Proofing Your Skillset - High-Meaning, High-Specifity Vocabulary is the Path to Growth

Apr 29, 2026 31 min

Why I'm Not "Picking a Fight" on AI: A listener asked if I'm intentionally stoking a flame war by treating agentic coding as a foregone conclusion. The honest answer is that I've used it, the data points one direction, and a show built around pretending otherwise would slowly drift away from reality — and away from being useful to you. Respecting the Misgivings, Without Getting Stuck in Them: Ethical concerns, skill atrophy worries, and questions about long-term effects are all legitimate. But the goal of this show is practical applicability, so we focus on mental models you can use Monday morning rather than litigating every angle of the debate. The "Minecraft" Principle: If I ask you to "build Minecraft," I've handed you several chapters of specification in a single word. That's meaning-rich abstraction — language that points at a huge amount of shared context with very little token cost. Meaning-Rich AND Specific: "Human history" is meaning-rich but uselessly broad. "Block-building game" is specific but loses fidelity. The sweet spot is vocabulary that is both compact and unambiguous — sitting in the top right of the meaning-density / specificity graph. A Real Example — Strategy Pattern: When working on authorization rules, I didn't want a pipeline. Instead of describing base classes, shared interfaces, and parallel execution to the LLM, I used the words "strategy pattern." Three words did the work of three paragraphs, and the output landed where I wanted it. Vocabulary as Leverage: Named patterns, named algorithms (Monte Carlo, etc.), named architectural concepts — these act like compressed pointers. The more of them you genuinely understand, the higher the leverage of every prompt you write and every conversation you have with another engineer. How to Build This Vocabulary: Have conversations with senior engineers. Ask an LLM what patterns are at play in a codebase, which ones you're using incorrectly, and which ones you're tricked into thinking you're us...

Building Real Skills During the AI Boom - No, Not That Kind of Skill

Apr 22, 2026 30 min

The Coding-Is-My-Value Trap: For years, we've treated the ability to write code as the flagship skill of software engineering. It's concrete, it's teachable, it's the thing big box stores sell kits for. But conflating "what I enjoy about the job" with "what I'm actually valuable for" is dangerously reductive — and AI is now exposing that gap. The Skills You've Been Discounting: Domain expertise, systems thinking, risk and bottleneck analysis, organizational design, tech-lead-level sequencing of work, relational skills that unblock hard moments in a company's life. These have always been where a lot of your real value lived. You probably just weren't writing them down. The Three-Part Framework — Valuable, Durable, Transferable: A skill worth investing in hits as many of these as possible. Valuable means it meets a clear business need. Durable means it survives industry shifts. Transferable means it applies across domains and scales up as you grow more senior. What "Durable" Actually Means: Ask yourself: what would have to change for this skill to become obsolete? Coding, on its own, has a lower durability answer than it used to. Relationship building, architectural thinking, and the ability to reason about complexity require much bigger shifts before they stop mattering. Transferability Is Vertical, Not Just Lateral: Don't just ask whether a skill moves across industries. Ask whether it keeps paying off as you move into more senior, higher-leverage roles. Soft skills, systems thinking, and mental models like compound interest compound themselves the further up you go. Episode Homework: Make your own list. Which of your skills are valuable, durable, and transferable? Every engineer's list looks different — and the ones you've been quietly discounting are often the ones that matter most going forward. 🙏 Today's Episode is Brought To you by: Unblocked Your coding agents have access to your codebase — but access isn't context. They don't know your architectural de...

Chaos Doesn't Have to Win - Maintaining Order in the Midst of AI Change

Apr 15, 2026 20 min

If you're an engineering leader right now, everything around you feels like it's changing at once — new tools, new processes, new expectations. It's tempting to accept chaos as the new normal, but in today's episode, I make the case that your job is to go on the offense and *create* order. Not by clinging to old processes, but by becoming the groundskeeper of your team's ceremonies — the regular, repeated actions that give your team a foundation to actually improve from. Humans Are the Limiting Factor (And That's Okay): Our fundamental cognitive capabilities haven't changed in tens of thousands of years. Progress is collective — better tools, better documentation, better knowledge systems — but individually, our brains work the same way they always have. Any process that involves humans has to account for this. Why Ceremony Matters More Than Ever: Whether you call them scrum ceremonies, team rituals, or just "the way we work," regular and repeated team actions aren't bureaucratic overhead. They're how humans learn, build comfort, and reduce cognitive load. Just like sitting in the same seat at your coffee shop or driving the same route to work, repeated patterns free up mental energy for the things that actually require your attention. Regularity of Action Over Specific Process: This isn't a prescription for scrum or kanban or any particular framework. The point is that your team has some determined, repeated way of doing things — whether that's a weekly planning session, a daily standup, or a trigger-based refinement process. The specific process matters less than the consistency. Ceremony Enables Experimentation: If you want to get better, you need to be able to change one variable at a time and measure the result. That's impossible when everything is changing at once. Holding your core processes steady gives you the controlled environment you need to actually learn what's working and what isn't. Spot the Anomalies: When you maintain regularity, deviations b...

Mourning the Loss of Coding, Senior Tooling Mindset, and Shaping Your Environment

Apr 8, 2026 33 min

Your tool set isn't just a collection of utilities — it's the environment you live in every day, and it's shaping you whether you realize it or not. In today's episode, I explore two principles that senior engineers consistently apply to their workflows, regardless of which specific tools they're using. As our industry goes through one of the most rapid periods of change in the last 20 years, the engineers who thrive won't be the ones chasing every new tool — they'll be the ones who obsess over reducing friction in the work they do most often. Honor the Grief: Many engineers are experiencing a real sense of loss as the deep cultural connections to languages, communities, and hand-written code begin to shift. Recognizing and processing that grief — rather than letting it turn into reflexive rejection of new tools — is essential to thinking clearly about what comes next. "We Shape Our Tools, Then Our Tools Shape Us": Your tools aren't neutral. A bad monitor height, a faulty keycap, or a clunky deployment process all shape you back — draining focus, breaking flow, and compounding over time. The most senior engineers treat this relationship as a first-class concern. Principle 1 — Tools Are Your Environment: There's a spectrum from "tool" to "environment," and most of what you work with sits somewhere in between. Your terminal, your desk, your claude.md file — all of these are environment. Sharpening your tools means shaping your environment, and shaping your environment is sharpening your tools. Friction Is the Lever: You don't need a dramatic overhaul to change your behavior. Tiny reductions in friction — a two-letter alias, a key binding to run tests, setting your shoes out the night before — have an outsized effect on how often you actually do the things you want to do. James Clear's Atomic Habits framework applies directly to engineering workflows. Principle 2 — First Order Thinking: Borrowed from Adam Savage's concept of "first order retrievability," the idea...

Useful Illusions and Exploiting Heuristics

Apr 1, 2026 27 min

When Good Thinking Becomes Overthinking: Discover why the pursuit of perfect analysis often undermines good decision-making. Loading every caveat, every exception, and every alternative into your working memory doesn't produce better outcomes — it produces paralysis. Heuristics as a Feature, Not a Bug: Your brain is an efficiency machine that creates shortcuts — cached concepts, stored routines, snap judgments. These heuristics are always incomplete, but they let you move through complex problems quickly. The opportunity is to deliberately choose which heuristics to exploit. "All Models Are Wrong, Some Models Are Useful": Useful illusions don't need to be perfectly true. They need to be true enough that acting on them produces better outcomes than endlessly debating their accuracy. Useful Illusion: Coding by Hand Is Going Away: Whether or not this is literally true in every case, the engineer who acts as if it is will invest in agentic workflows, LLMs, and new tooling — while the engineer who picks the argument apart risks being labeled a skeptic and falling behind. Useful Illusion: Hard Work Pays Off: You can poke holes in this all day — wrong direction, burnout, culture-dependent — but people who follow this heuristic tend to build reputations as reliable and capable. Few of us want to be known for the opposite. Useful Illusion: As Long As I'm Learning, I'm Growing: Learning becomes less directly correlated with career advancement over time, but continuing to act on this belief keeps you flexible, curious, and in a growth mindset. More Useful Illusions for Your List: Clean code is better. Always think about the user's experience. Go with the tool you know. Volume of delivered work correlates with career success — especially during performance review season. The Key Insight: You don't have to believe any of these things literally. You're exploiting your own heuristic system to drive efficient action and avoid wasting time on low-utility debates. The result i...

Decision Making is Your New Core Skill, So it's Critical to Avoid These Two Traps of Collaborative Decision-Making

Mar 24, 2026 38 min

The Bottleneck Is Moving: Borrowing from traditional manufacturing theory, the coding step used to define your team's total throughput. AI tooling hasn't incrementally improved that bottleneck — it has drastically shrunk it, which means the constraint is now upstream in product decisions, specifications, and prioritization. Engineers who recognize this shift early will redirect their energy accordingly. Sharing Your Opinion Is Not a Free Action: Every time you weigh in on a decision, you're making a transaction. You're asking others to consider your input, and in return, they will update their beliefs about your judgment based on whether you turn out to be right. This means your credibility is a finite resource that appreciates or depreciates over time. Trap #1 — Arguing About Things You Don't Care About: Engineers often feel an intellectual itch to engage when they hear an argument they disagree with, even when the outcome doesn't matter to them. If the only utility of sharing your opinion is your own self-satisfaction, the risk to your social capital almost never justifies the reward. Pick your battles so that when something does matter to you, people actually listen. The Watchful Waiting Approach: If you predict a decision will lead to a bad outcome, sometimes the most effective move is to wait and let the result speak for itself. You get the learning for free without putting your reputation on the line — especially for decisions outside your core responsibilities. Trap #2 — Arguing on the Wrong Axis: When you do engage, make sure your argument is aligned with what the decision-maker actually cares about. A product manager asking engineers to delay optimization work is not going to be moved by arguments about on-call load. An engineering manager introducing a systems design interview won't be swayed by the fact that you personally dislike them. If your reasoning doesn't connect to their criteria, it lands as noise. Naive Realism and the Alignment Fix: We all...

What's Brewing, Edition 1 - What Jonathan is Learning, Using, and Thinking

Mar 18, 2026 1 hr 5 min

The Power of Physical Checklists: Inspired by aviation, Atul Gawande's The Checklist Manifesto, and Daniel Kahneman's Noise, I've been experimenting with printed, physical checklists for repetitive tasks — from producing this show to running one-on-ones. The rigor of writing precise procedures carries over into clearer communication with both humans and AI agents. Small Interventions, Big Returns: A Brother P-Touch label maker. Reorganizing scattered hobby gear. 3D printing organizational tools with a new Bambu Labs P1S. None of these are revolutionary on their own, but the compounding effect of better organization — essentially building a fast index for your physical life — pays back over and over. Context Shapes Focus: Switching from a home gym to working out at Planet Fitness with my brother-in-law was one of the best focus interventions I've made. The change in environment eliminated the procrastination and context-blending that came from being steps away from my computer. If you're struggling with a habit, sometimes the environment is the variable to change, not your willpower. The Reading List: Good Strategy, Bad Strategy by Richard Rumelt (and its follow-up The Crux), The Art of Action by Stephen Bungay (a great framework for thinking about agentic workflows), How to Know a Person by David Brooks, and my top recommendation: 4,000 Weeks by Oliver Burkeman — a book that will help you stop looking for the productivity hack that fixes everything and start thinking about what actually matters. Learning as a Habit: Right now I'm learning to drive a stick shift on a 1983 Bronco. The point isn't the skill itself — it's staying in the beginner's seat. Intentional practice, setting small goals, refining through repetition. Keeping this habit alive is more important than ever when the industry demands rapid adaptation. How I'm Actually Using AI: Claude Code for one-shotting tools with clear boundaries, local environment improvements, and terminal troubleshooting. O...

From Software Engineer to Agent Manager - How Work is Changing in A New Software Development Paradigm

Mar 10, 2026 21 min

If you're a software engineer right now, you likely feel like your world is changing overnight. We are writing half or less the amount of code that we wrote even a year ago, which represents a seismic, groundbreaking shift in our industry. However, the rapid introduction of new tools can slide quickly from exciting to purely chaotic, leaving you feeling like you are falling behind. In today's episode, I explore how this changes the nature of our day-to-day work, and why the key to surviving this transition is shifting your mindset from a traditional "Software Engineer" to an "Agent Manager". The Illusion of Velocity vs. Actual Chaos: While the big-picture promise of AI is that the software development pipeline will move exponentially faster, the reality on the ground often feels like unadulterated chaos. Trying to adopt every new tool while spinning up multiple agents to work on parallel tickets introduces a massive new cognitive burden. The Context-Switching Trap: Understand why parallelizing agent workflows fundamentally changes your context-switching overhead. You are no longer just reloading context to build something yourself; you are reloading it to manage, review, and validate a building agent, which rapidly drains your cognitive ability and leads to burnout. The "Agent Manager" Mindset: Treating AI as just a "smart autocomplete" while you try to do the same old job will not work. You need to start viewing your role more like assembly line or process management, focusing on facilitating the system rather than typing every line of syntax. Adopt Old-School Quality Control Tactics: Discover how traditional management methods are becoming essential for individual contributors. Just like a factory manager doesn't inspect every single item off the line, you must develop methods for spot checks, anomaly detection, and standardizing outputs to evaluate the quality and quantity of your agents' work. Shift Your Work Upfront: Recognize that your core effort must m...

AI Moves the Bottleneck - Are You Ready for What That Means For Your Career?

Mar 3, 2026 29 min

AI is bringing massive changes to our industry, but it's not just about how fast you can write code or use agentic flows. In this episode, I explore how AI is fundamentally shifting the economic bottleneck of software development, and how you can use your systems-thinking engineering mindset to adapt and thrive in this new era. 🎧 Episode Notes: The Engineering Bottleneck Shift For years, the software development pipeline was designed around one core assumption: engineering is the most expensive and restrictive bottleneck. Because of this, organizations optimized heavily for upstream risk mitigation to ensure we only built what was absolutely necessary. But AI is changing that math, making the act of coding significantly cheaper and faster. Here is what happens when that bottleneck breaks: The Historical Cost of Bugs: I look back at the Windows 95 era, where physical software delivery meant post-release bugs were incredibly expensive, demanding massive upfront QA. The Continuous Delivery Precedent: Discover how the internet made software updates cheap, which fundamentally changed the ROI of risk mitigation and enabled fast, iterative soft releases. The Upstream Shift: Understand why, as engineering throughput increases by 50% to 100% due to AI, the new organizational bottlenecks will rapidly shift upstream to product, design, and decision-making. Optimizing for Speed Over Risk: Learn why companies will likely begin to lessen their focus on risk mitigation (outside of catastrophic data breaches) to prioritize higher volume throughput and decision speed. The New Iterative Workflows: Explore the potential for consolidated roles where engineers, PMs, and designers use AI to make rapid, on-the-fly product decisions together without traditional hand-offs. Your Core Engineering Value: Remember that punching cards or manually managing memory didn't define engineers in the past, and manually typing code doesn't define you now. Your true value is your ability to appro...

Listener Question - Abdul Asks About How to Balance Career Strategy Between Money, Meaning, and Skill Transitions

Feb 24, 2026 34 min

Today, we are tackling the natural tension between the desire to make more money—getting a raise, finding financial stability—and the desire to have meaningful, purpose-driven work. We are diving into a fantastic listener question from Abdul, a front-end engineer with 10 years of experience who has hit a salary ceiling. He is trying to figure out how to pivot into higher-paying domains like backend or AI without making a risky leap that forces him to start over at the bottom rung. 🎧 Episode Notes: Balancing Money, Meaning, and Skill Transitions When you hit a wall in your career, it often feels like you have to trade away the work you love just to achieve your financial goals. In this coaching-style episode, we break down Abdul's situation to help you rethink how you navigate financial constraints and career transitions. • Question Your Assumptions About Money: Discover why "making more money" isn't inherently a bad or vague goal. If your intent is to provide for your family, help elderly parents, and build a risk-mitigating financial buffer, your goal is actually highly instructive and values-driven. • The Illusion of Static Roles: Learn why job descriptions exist primarily as "skill buckets" to help companies hire. Once you are inside the company, your role is not concrete—it is a fluid spectrum that can shift as you adapt to new technologies. • Grow Where You Are Planted: Instead of making a massive, unrealistic leap to a completely new role, learn how to organically expand your skill set. Talk to your manager about taking on backend or AI tickets, or trading tasks with coworkers to build new skills without uprooting your career. • Redefining Financial Necessity: Understand how to evaluate the timeline and "shape" of your financial constraints. If financial necessity is your absolute dominant constraint, you must optimize your strategy specifically for stability and risk mitigation. 📮 Ask a Question If you enjoyed this episode and would like me to disc...

AI-Era Employability and Job Security for Software Engineers - Mental Models for Finding a Competitive Advantage Without Selling Out

Feb 18, 2026 40 min

I've been delaying this episode for a long time because the topic is genuinely difficult and, for many of us, scary. AI is threatening not just to our livelihood, but to our sense of self-worth as creators. In this episode, I don't offer false guarantees about job security. Instead, I frame the problem through the lens of microeconomics and rational incentives to help you understand how to remain employable. We discuss why you must separate your ego from your current skill set and how to position yourself not as a competitor to AI, but as a force multiplier. • The Hard Truth: I explain why the "abstinence" approach—hoping the industry rejects AI or that it turns out to be a bubble—is a high-risk gamble that is unlikely to succeed. • Ego vs. Employability: We discuss the difficult mental shift required to disconnect your self-worth from the act of writing code manually, allowing you to adopt new tools without feeling like you are losing your identity. • The Microeconomics of Your Job: Understand the cold reality that a rational market only pays you if you generate more value than you cost; if AI can do the same task with less risk or cost, the market will choose AI. • The Non-Zero Sum Game: Learn why the economy isn't a fixed pie. The goal isn't just to survive, but to recognize that the combination of Human + AI can generate more total value than either can alone. • Multiplicative Value: I challenge you to stop thinking about linear skill acquisition and start thinking like a manager: how can you use AI to multiply your output and become indispensable? • Accepting Atrophy: We confront the reality that your core coding skills may degrade over time as you rely on AI, and why accepting this trade-off might be necessary for your career survival. 🙏 Today's Episode is Brought To you by: If you are building an application that needs real-time search results—especially if you are working with LLMs—you know that stale data is a problem. SerpApi is the live web search API fo...

Why Getting Paid Stole Your Drive and How to Get Into the Flow Again (Career Growth Accelerator)

Feb 11, 2026 22 min

Do you remember the early days of your career? You likely spent hours coding late into the night, fueled not by a paycheck, but by the sheer joy of building. But somewhere along the way, that intrinsic fire faded, replaced by the extrinsic motivators of Jira tickets, performance reviews, and ultimately the almighty dollar. In this episode of the Career Growth Accelerator, I explore why this shift happens and how it might be the very thing keeping you stuck. We discuss the "Overjustification Effect"—how getting paid for your passion can actually degrade your performance—and how to reclaim the autotelic personality required to enter a flow state and accelerate your career. • The Overjustification Effect: Learn why introducing extrinsic rewards (like a salary) for a task you inherently enjoy can weaken or completely replace your intrinsic motivation, eventually making the work feel like a chore. • The Loss of Flow: Discover how moving from hobbyist to professional changes your relationship with the work, often stripping away the conditions necessary for "flow state," such as risk-taking and immediate feedback. • Autotelic Personality: Understand the concept of being "autotelic"—doing something for its own sake—and why this trait is critical for high-quality, creative work that pushes your career forward. • The Stagnation Trap: Recognize that if your only motivation is doing what is required to get paid, you are unlikely to take on the voluntary challenges necessary to grow to the next level. • Reclaiming Your Drive: I discuss how finding pockets of intrinsic motivation—even if they are ancillary to your main job—can reignite your ability to enter flow, improve your work quality, and break through career plateaus. 🙏 Today's Episode is Brought To you by: If you are building an application that needs real-time search results—especially if you are working with LLMs—you know that stale data is a problem. SerpApi is the live web search API for your application. • Get real-t...

The Meta-Habit of High Performers: How Outer Loops Unlock Growth (Career Growth Accelerator)

Feb 3, 2026 25 min

🎧 Episode Notes: The Meta-Habit of High Performers: How Outer Loops Unlock GrowthIn today's episode, we are discussing one of the most common habits I see in high-performing managers and senior engineers. It isn't a single trick, a morning routine, or a specific productivity hack—it is a meta-habit. It is a specific way of thinking about how you spend your energy and time to avoid the burnout that comes from working hard without seeing commensurate gains,. The Burnout Trap: Understand that if you keep putting more energy in without getting equal or greater results out (sub-linear returns), you are heading for a wall. You cannot simply "grind" your way to the next level,.Recognize Your Default Loops: Whether you know it or not, you are already running "loops"—automatic heuristics and behaviors that define your decisions, like "while happy at job, stay at job",.The Inner vs. Outer Loop: Learn the difference between the Inner Loop (your execution, habits, and daily protocols) and the Outer Loop (the meta-observation that evaluates the system).Governing the Experiment: Discover how to use an Outer Loop to set longer-term conditionals for your career experiments (e.g., "I will try this until X"), preventing you from reacting emotionally to single data points,.Systematic Evaluation: Move from making random changes to making informed adjustments by stepping out of the daily grind to evaluate the trajectory of your habits,.🙏 Today's Episode is Brought To you by: UnblockedThere’s a good chance you’ve already tried a few AI code review tools — and you’re probably ignoring most of their comments. Not because AI can’t review code, but because it’s missing context. Most AI reviewers focus on surface-level issues: style nits, obvious refactors, or restating what’s already clear from the diff. Meanwhile, the things you actually care about, like whether a change violates an earlier architectural decision or quietly duplicates existing logic, go unnoticed. That’s the problem Unb...

Career Growth Accelerator - Promotion Roadblocks and Knocking it Out of the Park During Performance Review Season

Jan 28, 2026 31 min

It is review season, and you might be finding yourself confused: you received high ratings and "exceeded expectations," yet the promotion you expected didn't happen. In this episode of the Career Growth Accelerator, I break down exactly why high performance doesn't always lead to promotion, helping you identify the structural roadblocks and strategic shifts necessary to move from senior individual contributor to staff, principal, or leadership roles,. • Understand why your performance review is never conducted in a vacuum and why your manager’s peers—not just your manager—are the "voters" you need to convince with clear evidence,. • Learn why high ratings often fail to translate into a promotion if you haven't demonstrated specific impact on the company's strategic goals rather than just your own deliverables. • Discover the first major roadblock: Structural limitations where the role you want simply doesn't exist because the business context or organizational pyramid doesn't currently support it,. • Explore the concept of "Outer Layers" of scope—moving from self-focus to team-focus, and finally to business-strategy focus—to unlock the next stage of your career,,. • Identify the "indispensable trap" where performing too well at your current inner-layer responsibilities makes you terminal in your role rather than promotable. 🙏 Today's Episode is Brought To you by: UnblockedThere’s a good chance you’ve already tried a few AI code review tools — and you’re probably ignoring most of their comments. Not because AI can’t review code, but because it’s missing context. Most AI reviewers focus on surface-level issues: style nits, obvious refactors, or restating what’s already clear from the diff. Meanwhile, the things you actually care about, like whether a change violates an earlier architectural decision or quietly duplicates existing logic, go unnoticed. That’s the problem Unblocked is built to solve. Unblocked’s AI code review is grounded in decision-grade context, prio...

Career Growth Roadmap - De-risking Your Career By Understanding Your Vulnerabilities

Jan 20, 2026 15 min

In this episode, we explore how to de-risk your career roadmap by identifying the hidden vulnerabilities that hold your decision-making hostage. 🎧 Episode Notes: De-risking Your Career By Understanding Your VulnerabilitiesTrue career growth requires gaining autonomy over your choices. This episode provides a framework for performing a "pre-mortem" of career failure by identifying the sources of power that currently influence your life and limiting their leverage over your future. Identify Your Sources of Power: Perform an exercise to list the people, situations, and physical things (like money or debt) that drive your current decision-making and could shift your behavior if they changed.Conduct a Career "Pre-mortem": Use this diagnostic approach to recognize what has the power to change your decisions, helping you prepare for potential failures before they occur.Understand the "Hostage" Dynamic: Realize that while some leverage is aligned with your values, other factors—like large amounts of debt—can hold your career hostage, forcing you to make decisions you otherwise wouldn't.Balance Vulnerability and Autonomy: Distinguish between healthy vulnerability (such as in relationships with family) and unhealthy vulnerability (such as with creditors), and work to de-risk the latter to reclaim your agency.The Link Between Debt and Career Risk: Learn how eliminating financial vulnerabilities, like credit card debt, increases your autonomy, potentially allowing you to take "principled" career risks you previously couldn't afford.Re-evaluate Your Non-Negotiables: Use introspection to determine which parts of your job are truly essential and which "imagined" risks are preventing you from seeking better alignment with your personal purpose.Shift Your Control Systems: Understand that growth often requires giving up control in one area (like spending habits) to gain control and autonomy in your professional path.🙏 Today's Episode is Brought To you by: Wix StudioDevs, if you thi...

Career Growth Accelerator - Assessing Yourself - Using a Nine-Block to Map Your Skill, Potential, and Energy Investment

Jan 13, 2026 28 min

🎧 Episode Notes: Using a Nine-Block for Skill, Potential, and Energy InvestmentMost career assessments try to paint a static picture of what you can do well with the least effort, but they often fail to provide a practical roadmap for your next career move. This episode provides a simplified, multidimensional version of a classic management tool to help you prioritise your growth: Understand the Nine-block Matrix: Visualise a grid where the x-axis represents your current performance (how well you are doing now) and the y-axis represents your potential (your capacity to grow to the next level).The Energy Dimension: Go beyond a 2D map by evaluating the energy cost of each skill on a scale of 1–5; this helps you identify where you are on "autopilot" versus where a skill is draining you.The Risk Factor: Assign a risk or criticality score to your skills to determine which are "fundamental" to your role (like software delivery) and which can be safely dropped to make room for more valuable growth.Spot Opportunity Flags: Identify areas where you have high potential but low performance and low energy output; these represent your best opportunities for rapid improvement with the least input.Make the Counterintuitive Trade-off: Learn why you might need to drop a skill you are already good at if it has low growth potential, redirecting that energy toward a new skill that offers higher long-term value for your career.Categorise Your "Bread and Butter" Skills: Recognise those mid-level skills that ensure your reliability and help you get the job done but shouldn't be the primary focus of your intense energy and development.📮 Ask a QuestionIf you enjoyed this episode and would like me to discuss a question that you have on the show, drop it over at: developertea.com. 📮 Join the DiscordIf you want to be a part of a supportive community of engineers (non-engineers welcome!) working to improve their lives and careers, join us on the Developer Tea Discord community today! I am i...

Career Growth Accelerator: Going from Autopilot to Purpose

Jan 5, 2026 29 min

This episode marks the 11th anniversary of the show, and I want to celebrate by continuing our Career Growth Accelerator series. Today, we’re moving beyond the "autopilot" mode that many engineers find themselves in and learning how to define goals that are uniquely yours so you can find the specific challenges that will actually move the needle. 🎧 Episode Notes: Going from Autopilot to PurposeMany of us operate on instinct, chasing goals like "get a promotion" or "make more money" without understanding the "why" behind them. This episode is designed to help you interrogate those automatic responses and find a path that is optimized for what you uniquely value. Break the Autopilot Loop: Understand why common goals like "getting a promotion" are often just survival mechanisms intended to keep us safe within social norms rather than reflections of our true values.The "Never Again" Pressure Test: Use the mental exercise of imagining you will never get another promotion; if this causes visceral anxiety, it’s a sign that your goal is rooted in a sense of safety rather than self-actualisation.Move from Post-Rationalisation to Purpose: Instead of backwards-justifying the status quo, learn to be honest about what you truly desire—whether it's the affirmation of intelligence, the freedom of discretionary time, or a specific mission.Create Instructive Goals: Discover why a goal must be personal and specific to be useful; a generic goal provides no roadmap, whereas a unique goal acts as an instruction for what to do next.Find Your True Challenge: Once your goal is defined, identify the specific obstacle standing in your way that requires ingenuity and isn't already decided for you.The "Asterisk" of Solvability: Learn the most critical rule for picking a challenge: it must be something you can reasonably solve given your current means to avoid falling back into paralysis and autopilot.📮 Ask a QuestionIf you enjoyed this episode and would like me to discuss a question that you...

Announcing - Career Growth Accelerator, Episode Zero - Getting Out of Your Own Way

Dec 18, 2025 20 min

This episode kicks off the Career Growth Accelerator series, focused on the specific hurdles faced by mid-to-senior level engineers, managers, and leaders who are looking to move to the next level. Before diving into specific strategies, I’m addressing the fundamental prerequisite for real growth: getting out of your own way. We often block our own progress because our ego conflates our self-worth with our career position, making it impossible to see the real problems or lessons we need to learn. In this episode, I share a vital mental exercise to help you disconnect your identity from your job title and begin diagnosing your career challenges honestly. Understand why protecting your ego is one of the most dangerous ways to control your career, leading you to discount valid reasons for stagnation or failure by focusing only on external factors.Discover the fundamental shift needed: disconnecting your self-worth from your career aspirations. Your position is merely a fact and has little bearing on your innate value or capacity to succeed more generally.Learn how to use a distancing thought experiment—viewing your situation as if it were an acquaintance’s story—to remove your ego from the diagnostic process and gain necessary clarity and perspective.Explore why effective growth advice, whether for promotion or post-mortem analysis, requires focusing almost exclusively on the diagnostic aspect ("What happened and why?") rather than building justifications based on your worthiness or past performance.📮 Ask a QuestionIf you enjoyed this episode and would like me to discuss a question that you have on the show, drop it over at: developertea.com. 📮 Join the DiscordIf you want to be a part of a supportive community of engineers (non-engineers welcome!) working to improve their lives and careers, join us on the Developer Tea Discord community by visiting https://developertea.com/discord today! 🧡 Leave a ReviewIf you're enjoying the show and want to support the content hea...

Announcing: The Career Growth Accelerator Series

Dec 16, 2025 2 min

Are you a mid-to-senior level engineer or leader who has hit a career roadblock or found yourself stagnated? I'm launching the new Career Growth Accelerator series, focused on the difficult, non-obvious hurdles that prevent you from moving to the next level. In this foundational Episode Zero, I cover the critical prerequisite for growth: Getting Out of Your Own Way. Our ego often protects our self-worth by blaming external factors for failures, making honest diagnosis impossible,. • Learn why protecting your ego is the most dangerous way to control your career. • Discover the fundamental shift: disconnecting your self-worth from your career aspirations to gain clarity. • I introduce a distancing thought experiment to help you diagnose the real problems blocking your path. • Start focusing on the diagnostic aspect—What happened and why?—to build real momentum. Subscribe now so you don't miss out on this series!

Problem Definition As A Path for Career Growth

Dec 11, 2025 14 min

When you hit a career roadblock, the methods that worked for you before often stop working. Today, I’m diving into why that happens, and why the first and most critical step in progressing past stagnation isn't doubling down on skills, but clearly defining the problem standing in your way. Problem Definition As A Path for Career GrowthMy goal on the show is to help driven developers like you find clarity, perspective, and purpose in their careers. This episode is for everyone trying to grow, especially if you have hit some kind of roadblock. Most career progression, especially early on, happens somewhat automatically through natural experience, domain expertise, and skill accumulation,. However, as you progress, you will hit missing rungs or roadblocks—things preventing you from progressing in promotions, positions, or specific projects. When blocked, most people rely on the same things they did before, such as gaining experience, reading blogs, or building side projects, using a "scattershot approach" to try and guess what their managers want,. Unfortunately, relying on activity that previously got you ahead will not necessarily work later in your career,. As you climb the career ladder, the number of positions available decreases (the pyramid shape), meaning that even being highly qualified may not lead to the next role if it simply doesn't exist,. If you haven't defined the problem, you have no way of knowing whether the actions you are taking will help you progress where you want to go. Instead of continuing the never-ending cycle of self-improvement, you need to step outside your own context and try to see the problem from an external viewpoint, like a consultant. Recognizing the core problem—like a lack of available roles—allows you to shift your focus away from only improving your skill set and toward solving that specific organizational problem, perhaps by expanding the necessary scope for the role to open up,. Redefining the problem may mean shifting your g...

You Know The Hard Thing You Need to Do Next - Here's Why It's Worth Doing Now

Dec 2, 2025 13 min

We often look for ways to reduce the load on our brains, seeking shortcuts and optimizations to get ahead. Sometimes this works, reinforcing the belief that we can hack our way around every problem. However, this episode addresses the truth that many fundamental aspects of your career require something difficult, messy, slow, or inefficient, demanding deep thought and repeated failure. This episode details the difficult truths about facing the most essential challenges in your career: Understand the Hard Path: Recognize that many aspects of your career, skill set, relationships, and hobbies require something difficult, messy, slow, or inefficient, demanding deep thought and repeated failure.Identify Your Primary Obstacles: Pinpoint the hard things you are procrastinating on, such as developing essential domain knowledge, deepening relationships with crucial co-workers or your manager, or getting the necessary "reps" of difficult building and practice.The Path to Mastery: Realize that becoming a great engineer (e.g., a great Python developer) is achieved not by reading books or finding perfect tools, but by building things over and over. This practice includes receiving feedback from peers and applying what you learn under challenge.The Pain of Decision: Explore why it is difficult to even decide to do a hard thing. By committing to the challenging path, you are choosing to cut off your optionality and giving up the hope of finding an easier, lower-investment alternative.Sustaining Commitment: Understand that initial motivation or an energetic feeling will not carry you through the obstacle when the development process becomes awkward, slow, or frustrating. Staying committed requires reinforcing your core underlying reason for doing the hard work.The Reward: Recognize that if you successfully address the hard thing you know needs doing, everything else in your life and career becomes easier.🙏 Today's Episode is Brought To you by: Wix StudioDevs, if you think website...

Career Fundamentals - Avoid Career Traps by Focusing on Primary Paths of Improvement

Nov 25, 2025 15 min

If you're looking to accelerate your career growth, this episode gives you what may feel like hard truths about the path forward. So many engineers fall into traps of overthinking, chasing minor optimizations (like 5% or 10% productivity boosts), or playing the games of politics and networking. While these sideline activities aren't necessarily useless, I want to help you focus on the "big engines" and "primary considerations"—the things that will make the monumental difference in your career building strategy. • I explain why arguments based on nuance—such as trying to convince your manager that your work is valuable despite low throughput, or doing "glue work"—are often based on flawed strategies that cause your career to suffer and not grow easily. • I use an allegory (discussing the primary path of treatment for low testosterone) to illustrate that many engineers are trying to fix a fundamental, mainline career problem with a sideline, nuanced solution, instead of focusing on the gold standard primary path. • I debunk the skill collection fallacy: the misconception that broadening your skill set (learning more languages, frameworks, or techniques) provides the same level of career benefit as it did early on. • Discover the fundamental path to growth: I advise you to set down new languages and skill sets and instead become a craftsman of a limited set of tools, fully understanding the domain, business problems, and how value flows through the organization. • Learn why the most important factor that substitutes for very few other things is engaging in the deliberate practice of solving a sheer volume of problems encountered and solved over and over. • I detail how to avoid the comfort zone: while solving problems is vital, you must ensure those problems progress with you by increasing complexity, scope, responsibility, or sheer volume of work, otherwise, your potential for growth will become limited and you will stall out. • I caution that a lack of challenge (fee...

Getting to Senior - Taking Ownership Without Leading Projects

Nov 18, 2025 15 min

If you're an engineer looking to move into a senior role, you have likely heard that you need to demonstrate "ownership". Unfortunately, this crucial term is often poorly defined and leads to a major misconception: that ownership means being assigned a full project or a Tech Lead role. I want to dispel that myth and explain why ownership is actually a necessary behavior and mindset shift, applicable in almost every action you take, regardless of whether you’re leading a project. Understand why ownership is a critical aspect of moving along your career track, especially for engineers moving from the associate or mid-level engineer role up to senior.Uncover the misconception that ownership requires a specific scope of responsibility, such as owning a project or a deliverable.Discover the crucial phrase that defines the ownership mindset: "What now?" or "What next?" which should guide you through every situation you encounter.Learn why true ownership is not about inherently knowing every technical detail or executing every step, but about being willing to take responsibility and accountability for figuring out what happens next.Explore how a senior engineer's ownership behavior means translating identified problems (like those found in a retro) into action or decisions, thereby ensuring things continue moving forward and don't stall out.I explain that engineers show ownership by choosing to opt in to be held accountable for outcomes, rather than waiting for a manager to intervene or ask for a status update.📮 Ask a QuestionIf you enjoyed this episode and would like me to discuss a question that you have on the show, drop it over at: developertea.com. 📮 Join the DiscordIf you want to be a part of a supportive community of engineers (non-engineers welcome!) working to improve their lives and careers, join us on the Developer Tea Discord community by visiting https://developertea.com/discord today! 🧡 Leave a ReviewIf you're enjoying the show and want to support the cont...

Part Two - Bryan McCann, CTO of You.com, on AI, Engineering, Art, and Everything In Between

Nov 11, 2025 36 min

Hey everyone, welcome to today's episode of Developer Tea. This is the second part of my interview with Bryan McCann, the CTO at you.com. If you haven't listened to Part One, I'd encourage you to go back, as it provides crucial context for our continued discussion. In this episode, we dive into how you can think about relating to and integrating the massive changes that AI is bringing to your job, whether you are a software engineer, manager, director, or product professional. Bryan and I discuss his interests beyond research, including art and organizational design. Explore the two primary paths for developers in the long run: specializing as managers of AI tools (like a product manager with engineering insight) or striving to be better than AI at building better versions of AI itself (the "neurosurgeon" type).Understand why refining your intuitions about what should be built becomes increasingly crucial as automation makes execution easier.Examine how conceptual biases often become the bottleneck when interacting with powerful AI tools, such as focusing on very narrow tasks for a broad tool.Learn how to approach AI failures: treat a failed output as an opportunity to dig in and figure out why, perhaps by asking the AI to write a better prompt or identifying a fundamental missing capability that could become a great startup idea.Conceptualize AI as the earliest versions of magic, where the manipulation of symbols (like embeddings) allows us to extend our influence into the world in a flexible and powerful way.Discover principles of organizational design by studying how neural networks learn, focusing on strong information flow, skip connections, and aligning with the objective.Consider the idea that the next phase of human development might involve emulating AI’s learning mechanisms (rather than expecting AI to become more human-like) to unlock the next phase of humanity and continue our search for meaning.Hear Bryan’s final piece of advice for listeners: focus on...

Part One - Bryan McCann, CTO of You.com, on AI, Engineering, Art, and Everything In Between

Nov 4, 2025 34 min

Hey everyone and welcome to today's episode of Developer Tea. It's been quite a while since I've had a guest on the show. Today, I'm joined by Bryan McCann, CTO at you.com. We dive into a wide-ranging discussion, exploring the philosophical origins of his career—from studying meaning and language to working in very early AI research. This discussion is less advice-heavy and more focused on kind of theory and discussion. I hope this is insightful for you and helpful as you crystallize your own philosophies on these subjects. Explore the philosophical journey that led Bryan McCann from being a philosophy major interested in meaning to pioneering early AI research. Bryan views his current work as an extension of those original philosophical questions.Discover how Bryan shifted from hitting a dead end in "armchair philosophy" to using computational tools to study language and try to make machines that could create meaning.Understand why Bryan believes that meaning, in the sense he originally sought it, is an innately human thing, tied to purpose and the narratives we use to shape our sense of reality.Discuss the profound realization that AI breakthroughs might be akin to discovering electricity, suggesting we are tapping into a fundamental framework of meaning or connection that has always existed.Examine the concept of super intelligence and the "flywheel effect," where AI accelerates research and development, building better versions of itself and potentially surpassing the classic anthropomorphic vision of machine intelligence.Explore Bryan’s other interests, including organizations, people, and art, which he sees as continuing the uniquely human search for meaning.Consider the idea that humanity's constant need to differentiate itself from machines may simply be a mechanism for survival, enabling our continued dominance.📮 Ask a QuestionIf you enjoyed this episode and would like me to discuss a question that you have on the show, drop it over at: developertea.com.....

Going to War with Burnout - Less Hours Isn't Your Only Option

Oct 27, 2025 18 min

I'm tackling a massive challenge today: burnout. While the standard advice usually involves working less, I want to show you a practical dimension of burnout you have more control over, focusing on increasing your agency and autonomy to manage chronic workplace stress more effectively. Burnout is classified by the ICD-11 as a syndrome resulting from chronic workplace stress that has not been successfully managed. This episode includes practical advice for understanding and addressing burnout by shifting focus from reducing work volume to increasing control and resources. Understand the three dimensions of burnout as classified by the ICD-11: feelings of energy depletion or exhaustion, increased mental distance/negativity toward the job, and reduced professional efficacy.Discover why the amount of time you work is not a direct input to burnout, meaning working less is often impractical and may not solve the underlying issue.Learn the core philosophy for addressing burnout: In order to control stress, provide control (meaning agency and autonomy).Explore why stress is directly correlated to the ratio of demands placed on you versus the resources (including decision-making power, training, and tooling) you have to meet those demands.I’ll give you practical ways to approach your manager to secure necessary resources, training, or mentoring to improve your professional efficacy and reduce job negativity.📮 Ask a QuestionIf you enjoyed this episode and would like me to discuss a question that you have on the show, drop it over at: developertea.com. 📮 Join the DiscordIf you want to be a part of a supportive community of engineers (non-engineers welcome!) working to improve their lives and careers, join us on the Developer Tea Discord community by visiting https://developertea.com/discord today! 🧡 Leave a ReviewIf you're enjoying the show and want to support the content head over to iTunes and leave a review! It helps other developers discover the show and keep us focused...

The Good and Bad of Choosing Measurements - Traps and Opportunities of Measuring What Matters

Oct 17, 2025 15 min

In this episode, I dive into the management mantra that "what is measured is managed" and explain why this simple assertion often leads to a complex trap. We discuss why the act of measuring team productivity is never neutral—it's an intervention that immediately changes behavior, often resulting in unintended consequences like gaming the metrics. We'll explore how to collaborate with your team to find measurements that truly drive desired behaviors. Understand why the phrase "what is measured is managed" means that measuring something triggers management of that thing, in varying degrees.Learn why the act of measuring something is an intervention, especially when done with the intent of turning it into a target (e.g., increasing PRs or decreasing bugs), and how this action is shown to change behaviors around the thing being measured.Discover how measurement can lead to unintended consequences, such as when tracking velocity via story points causes team members to inflate or deflate their estimates, making the measurement itself less meaningful.Explore why giving ownership of metrics to the people acting to improve them makes sense, and how you can collaborate with your team to determine what kinds of measurements should be taken.Recognize that if you want something to survive—such as paying down tech debt—you must feed it with time, resources, and attention, ensuring your actions line up with what you claim to care about.Understand that since your calendar and dashboards will get crowded if you measure everything, the exercise of choosing metrics is as much about accepting that you have to choose what you will actively manage and invest in.📮 Ask a QuestionIf you enjoyed this episode and would like me to discuss a question that you have on the show, drop it over at: developertea.com. 📮 Join the DiscordIf you want to be a part of a supportive community of engineers (non-engineers welcome!) working to improve their lives and careers, join us on the Developer Tea Dis...

Engage in Deliberate Practice to Level Up Your Engineering Leadership Skills

Oct 7, 2025 18 min

I want to dive into the concept of Deliberate Practice, which sets the greatest apart in fields ranging from sports to writing to engineering. I’ll explain why it’s much more than just repetition or experience, and why applying it to your career can lead to rapid improvement. Most importantly, I will provide concrete ways you can apply deliberate practice to level up your engineering and leadership skills, especially in areas that are traditionally difficult to practice, such as communication and strategic decision-making. Differentiate Practice from Deliberate Practice: Understand that while repetition is part of practice, deliberate practice specifically involves engaging in a very narrow set of activities with the intentional goal of improvement, requiring very quick feedback for continuous incorporation.Identify Opportunities for Rapid Improvement: Learn why deliberate practice is much more effective at achieving rapid improvement than simply engaging in repetition.Apply DP to Leadership Skills: Discover how to incorporate deliberate practice into roles like engineering manager, tech lead, or IC (Individual Contributor) leader, where the activity of practice is often harder to pinpoint.Leverage Existing Work for Practice: I suggest a mindset shift where you begin looking at existing responsibilities, such as one-on-ones, as opportunities for practice. For example, you can focus on improving your clarity when providing constructive criticism and ask for specific feedback on that aspect.Generate Novel Value Through Practice: Explore how engaging in deliberate practice activities—like recording a video to communicate a technical concept or creating documentation—serves the primary goal of practice, while almost certainly creating unexpected value for your team (often net neutral or positive).Use Backwards Training for Strategy: Find out how to practice strategic decision-making and forecasting by using "backwards training". This involves reviewing past decisions or...

Shift Your Locus of Control to Take Charge of Your Engineering Career

Oct 2, 2025 20 min

This episode explores the concept of Locus of Control and why developing a more internal locus of control is beneficial for your career and life. You'll learn the difference between internal and external perspectives, why one is more useful than the other, and practical exercises to shift your mindset to believe you have more influence over the outcomes you care about. Understand Locus of Control: Discover what psychologists mean by locus of control—whether you believe outcomes are determined by your own actions (internal) or by external forces like luck and chance (external).Adopt a More Useful Mindset: Learn why an internal locus of control, while not a perfect reflection of reality, is a more useful and effective mindset for your career, as it prevents you from missing opportunities to influence outcomes.Recognise Your Influence: Find encouragement in the idea that you almost certainly have more influence and control over situations in your life and career than you currently believe.Shift Your Perspective with Practical Exercises: Engage in two research-based exercises to help you recalibrate your default beliefs and intentionally develop a more internal locus of control.Leverage Your Strengths: See how focusing on your strengths can create a positive feedback loop, reinforcing the belief that your efforts directly impact outcomes and helping you build a stronger sense of agency.📮 Ask a QuestionIf you enjoyed this episode and would like me to discuss a question that you have on the show, drop it over at: developertea.com. 📮 Join the DiscordIf you want to be a part of a supportive community of engineers (non-engineers welcome!) working to improve their lives and careers, join us on the Developer Tea Discord community by visiting https://developertea.com/discord today! 🧡 Leave a ReviewIf you're enjoying the show and want to support the content head over to iTunes and leave a review! It helps other developers discover the show and keep us focused on what matters...

Resumé Driven Development - Your Career is In Your Hands

Sep 24, 2025 12 min

In this episode we'll discuss why "Résumé Driven Development" is a powerful mental model for building a thriving career. Instead of seeing your résumé as just a job-hunting tool, you'll learn to use it as a guide for setting measurable, impactful goals that benefit you, your manager, and your company. Focus on Impact, Not Just Tasks: Discover why a great résumé is built on proof of impact, not just a list of completed projects. The best way to improve your career is to focus on achieving measurable goals that demonstrate real value.Have the Goals Conversation: Learn how to initiate a critical conversation with your manager to define measurable goals for your role. If your manager can only provide project deadlines, take the initiative to propose your own impact-oriented goals.Connect Goals to Business Value: Understand the importance of linking your work to business metrics. While there's a risk that a project might not meet its business goals, you can also measure impact through clever technical solutions or process improvements, like reducing team cycle time.Take Control of Your Career: Realise that your career success is ultimately dependent on your own actions. By proactively setting and tracking goals, you take control and can clearly tell the story of the value you bring to the table.📮 Ask a QuestionIf you enjoyed this episode and would like me to discuss a question that you have on the show, drop it over at: developertea.com. 📮 Join the DiscordIf you want to be a part of a supportive community of engineers (non-engineers welcome!) working to improve their lives and careers, join us on the Developer Tea Discord community by visiting https://developertea.com/discord today! 🧡 Leave a ReviewIf you're enjoying the show and want to support the content head over to iTunes and leave a review! It helps other developers discover the show and keep us focused on what matters to you.

Forced and Unforced Errors

Sep 18, 2025 15 min

In this episode, we introduce a simple yet powerful mental model from the world of sports: forced vs. unforced errors. By understanding this concept, you can shift your focus from things outside your control to the simple, foundational behaviours that truly define a successful career. Understand the Difference: Learn the distinction between forced errors—mistakes caused by chance, situation, or randomness that are hard to prevent—and unforced errors, which are avoidable blunders resulting from a lack of attention or care.Focus on What You Control: Discover why the most successful engineers prioritise reducing their unforced errors. While most people worry about hard-to-predict "forced errors," top performers concentrate on the fundamentals they can directly influence.Identify Your Unforced Errors: Recognise common unforced errors in your career, such as not testing your work, being late for meetings, erratic communication, or posting unprofessional content online. These simple mistakes can significantly impact your career over time.Conduct a Self-Audit: Learn the value of regularly performing a "self-audit" to identify and correct the simple, common-sense things you may be failing at. By improving in these areas, you can dramatically increase your reliability and competitiveness.🙏 Today's Episode is Brought To you by: Wix StudioDevs, if you think website builders mean limited control—think again. With Wix Studio’s developer-first ecosystem you can spend less time on tedious tasks and more on the functionalities that matters most: Develop online in a VS Code-based IDE or locally via GitHub.Extend and replace a suite of powerful business solutions.And ship faster with Wix Studio’s AI code assistant. All of that, wrapped up in auto-maintained infrastructure for total peace of mind. Work in a developer-first ecosystem. Go to wixstudio.com📮 Ask a QuestionIf you enjoyed this episode and would like me to discuss a question that you have on the show, drop it over at: deve...

View Your Productivity Through the Lens of Values and Priorities

Sep 14, 2025 13 min

In this episode, we introduce two fundamental thought experiments to help you uncover your true priorities and core values. By exploring scenarios of scarcity and abundance, you'll learn to align your daily actions with what truly matters, leading to a more satisfied career and life. Uncover Your Priorities: Engage in a "5% exercise" where you imagine only being able to complete a tiny fraction of your to-do list. This thought experiment leverages a scarcity mindset to reveal your genuine priorities, helping you distinguish between what you perceive as important and what truly is.Discover Your Values: Participate in an "abundance exercise" by imagining all your obligations are met and you have complete autonomy. What you choose to do next in this state reflects your core values and helps you move beyond aspirational or culturally normative answers.Go Deeper: Learn to challenge superficial answers when identifying your values, pushing beyond the obvious to find unique and potentially surprising insights that genuinely guide your decision-making.Unify for Satisfaction: Explore the profound insight that the most likely path to a satisfied career and life comes from unifying your priorities and values, thereby avoiding actions that don't align with what truly matters to you.📮 Ask a QuestionIf you enjoyed this episode and would like me to discuss a question that you have on the show, drop it over at: developertea.com. 📮 Join the DiscordIf you want to be a part of a supportive community of engineers (non-engineers welcome!) working to improve their lives and careers, join us on the Developer Tea Discord community by visiting https://developertea.com/discord today! 🧡 Leave a ReviewIf you're enjoying the show and want to support the content head over to iTunes and leave a review! It helps other developers discover the show and keep us focused on what matters to you.

This One Skill Signifies Seniority For Software Engineers

Sep 3, 2025 14 min

This episode explains what is arguably the best career advice you'll hear this week: the one skill that signifies seniority in software engineers is the ability to synthesise and optimise for multiple factors at once. Instead of focusing on a single factor, such as performance or maintainability, senior engineers identify and weigh the various trade-offs involved in any decision. Discover the key skill that distinguishes a senior engineer: It's the ability to synthesise multiple, competing factors—like performance, maintainability, cost, and time to market—rather than focusing on just one.Learn why single-factor thinking can hold you back: Junior engineers often optimise for what they know best or what is easiest to measure, which can harm the overall solution, the team, and their professional reputation.Understand how to demonstrate seniority in interviews and at work: You can show your maturity and wisdom by identifying the crucial trade-offs for any given problem, asking what factors need to be balanced, and exploring options that might satisfy multiple goals at once.Explore how to find better solutions by thinking in trade-offs: The goal isn't just to make sacrifices; often, the mark of a great senior engineer is finding a third option that effectively balances or optimises for multiple important factors simultaneously.Start practising this skill today: Challenge yourself to identify what you are giving up with any decision and consider factors you don't normally prioritise. Ask "What am I saying no to?" to develop this crucial skill.📮 Ask a QuestionIf you enjoyed this episode and would like me to discuss a question that you have on the show, drop it over at: developertea.com. 📮 Join the DiscordIf you want to be a part of a supportive community of engineers (non-engineers welcome!) working to improve their lives and careers, join us on the Developer Tea Discord community by visiting https://developertea.com/discord today! 🧡 Leave a ReviewIf you're enjoying th...